LLM Reference

Qwen2.5-72B

qwen2-5-72b

Researched 140d ago

Last refreshed 2026-04-15. Next refresh: weekly.

Open SourceRAGAgentsLong contextClassificationJSON / Tool use

Qwen2.5-72B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: Classification task fit, 0 tracked provider routes, and research from 2026-01-01.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Teams that need a tracked hosted API route today

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No output-token price in the ladder

Freshness

2026-01-01

Researched 140d ago

stale

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Benchmark peer barsfor Classification

Migration checks

No linked migration route is available for this model yet.

About

Alibaba Qwen2.5 72B model with improved reasoning and 128K context window. Open-weights, optimized for diverse tasks including coding and analysis.

Qwen2.5-72B has a 128K-token context window.

Capabilities

Function CallingTool Use

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMLU PRO72.0https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro

Rankings

Show all 14 popular comparisonssorted by 7-day search impressions

Specifications

FamilyQwen2.5
Released2025-10-10
Parameters72B
Context128k
Knowledge cutoff2024-09
Fine-tuning1

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website